ASUS WS X299 PRO/SE Intel Core i9 7960X System manufacturer System Product Name
Geekbench AI Score
4038
Single Precision Score
1131
Half Precision Score
4731
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | Marina |
| Upload Date | April 19 2025 05:18 PM |
| Views | 4 |
| Notes | Intel Core i9 7960X Trident Z Neo DDR4-3200 CL16-18-18-38 1.35V 256GB (8x32GB) F4-3200C16Q2-256GTZN ASUS WS X299 PRO/SE |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-7960X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel pour les Stations de travail (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. WS X299 PRO_SE |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7960X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3716
691.0 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (Q)
|
96% |
5096
951.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
526
8.53 IPS |
|
|
Image Segmentation (Q)
|
97% |
2015
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10961
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7306
8.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
19502
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
3125
247.9 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (Q)
|
58% |
3942
430.8 IPS |
|
|
Face Detection (SP)
|
100% |
7132
84.7 IPS |
|
|
Face Detection (HP)
|
100% |
960
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
7953
94.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10842
83.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1325
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11623
92.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20836
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14645
18.8 IPS |
|
|
Style Transfer (Q)
|
87% |
20797
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2675
98.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2042
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2028
75.1 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
486
648.4 IPS |
|
|
Text Classification (Q)
|
97% |
861
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (Q)
|
68% |
2123
41.0 IPS |
